Загрузка...
VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA
We consider the variable selection problem for a class of statistical models with missing data, including missing covariate and/or response data. We investigate the smoothly clipped absolute deviation penalty (SCAD) and adaptive LASSO and propose a unified model selection and estimation procedure fo...
Сохранить в:
| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2010
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2844735/ https://ncbi.nlm.nih.gov/pubmed/20336190 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|